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Related Questions
- What are the primary factors that determine the computational complexity of self-attention mechanisms?
- How does the number of attention heads affect the linear complexity of self-attention computations?
- In what ways can increasing the number of attention heads impact the memory requirements of self-attention mechanisms?
- Can you explain the relationship between the number of attention heads and the parallelization of self-attention computations?
- How does the number of attention heads influence the trade-off between model capacity and computational efficiency in self-attention mechanisms?
- What are some strategies for optimizing the number of attention heads to balance computational requirements and model performance?
- In what scenarios might a larger number of attention heads be beneficial for achieving better model performance, and what are the associated computational costs?
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